Digital Transformation of the Automotive Industry: An Integrating Framework to Analyse Technological Novelty and Breadth
| Autor: | Henry Lopez-Vega, Jerker Moodysson |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Industry and Innovation. 30:67-102 |
| ISSN: | 1469-8390 1366-2716 |
| DOI: | 10.1080/13662716.2022.2151873 |
| Popis: | Research demonstrates that digital technologies stimulate industrial transformation by enabling new interdependencies with firms outside and across firm and industry boundaries. However, we know little about the degree of novelty and breadth of digital technologies that have the potential to transform industries. Understanding the degree of novelty (spanning from radical to incremental) and breadth (spanning from one sector to multiple sectors) of digital technologies is important for measuring their impact on industrial transformation. Through a topic modelling research approach on autonomous vehicle technology patents from firms operating in Sweden and a confirmatory survey with the inventors of those patents, this paper reveals 26 digital technology topics that are transforming the automotive industry. The digital technology topics are distributed across four ideal-typical technology categories for transformation: augmenting, spanning, transforming, and disrupting. This study illustrates the value of studying digital technologies’ transformative nature using an integrating framework; it reveals that digital technologies in the automotive industry have mainly incremental characteristics but that these characteristics provide necessary preconditions for the few more radical technologies to achieve their potential in transforming the industry. |
| Databáze: | OpenAIRE |
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